Researcher
Willem Waegeman
- Keywords:Machine Learning, Data Science
- Disciplines:Applied mathematics in specific fields, Other computer engineering, information technology and mathematical engineering not elsewhere classified, Modelling and simulation, Systems theory, modelling and identification, Bio-informatics
Affiliations
- Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → Today - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From1 Dec 2008 → 31 Dec 2017 - Department of Electromechanical, Systems and Metal Engineering (Department)
Member
From16 Aug 2004 → 30 Nov 2008
Projects
1 - 6 of 6
- New-to-nature Biological Sensors: Unlocking the full potential of biological sensors beyond natureFrom1 Oct 2022 → TodayFunding: FWO senior postdoctoral fellowship
- Novel neural networks for single-cell sequencing technologiesFrom1 Nov 2021 → TodayFunding: FWO fellowships
- Identification of adaptive mechanisms leading to reduced antibiotic susceptibility in bacterial biofilms using experimental evolution and machine learning approachesFrom1 Jan 2020 → TodayFunding: BOF - projects
- Interlocking synthetic biology, systems biology and artificial intelligence to develop a more efficient metabolic engineering workflow: a highly efficient biotechnological production platform for monoclonal chitooligosaccharides.From1 Jan 2019 → 31 Dec 2022Funding: FWO Strategic Basic Research Grant
- Synthetic biology and artificial intelligence, mutual learning to advance together and jointly drive industrial biotechnology - accelerating knowledge discovery and strain engineeringFrom1 Oct 2016 → 31 Jul 2021Funding: BOF - Doctoral projects
- Nieuwe applicaties in informatiebevraging, beeldverwerking en bio-informatica hebben geleid tot de ontwikkeling van nieuwe machine learning methoden om meerdere targets tegelijkertijd te voorspellen. Recent werden tal van nieuwe methoden ontwikkeld in verFrom1 Feb 2015 → 30 Nov 2019Funding: BOF - Doctoral projects
Publications
41 - 50 of 84
- F-Measure maximization in topical classification(2012)Volume: 7413
Authors: Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman, JingTao Yao, Yan Yang, Roman Slowinski, Salvatore Greco, Huaxiong Li, et al.
Pages: 439 - 446 - Conditional ranking algorithms for efficient object retrieval and object querying on relational data(2012)
Authors: Willem Waegeman, Michiel Stock, Bernard De Baets, Tapio Pahikkala, Antti Airola, Tapio Salakoski
Number of pages: 1 - Label ranking with partial abstention based on thresholded probabilistic models(2012)Volume: 25
Authors: Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman, Volkmar Welker, P Bartlett, FCN Pereira, CJC Burges, L Bottou, KQ Weinberger
Pages: 2510 - 2518 - A kernel-based framework for learning graded relations from data(2012)
Authors: Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
Pages: 1090 - 1101 - On label dependence and loss minimization in multi-label classification(2012)
Authors: Krzystzof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
Pages: 5 - 45 - Learning monadic and dyadic relations : three case studies in systems biology(2012)
Authors: Michiel Stock, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets, Willem Waegeman
Pages: 74 - 84 - An analysis of chaining in multi-label classification(2012)Volume: 242
Authors: Krzysztof Dembczynski, Willem Waegeman, Eyke Hüllermeier, Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter Lucas
Pages: 294 - 299 - An experimental comparison of cross-validation techniques for estimating the area under the ROC curve(2011)
Authors: Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski
Pages: 1828 - 1844 - A kernel framework for learning relations from paired-comparison data(2011)
Authors: Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets
Number of pages: 1 - On the ERA ranking representability of pairwise bipartite ranking functions(2011)
Authors: Willem Waegeman, Bernard De Baets
Pages: 1223 - 1250